Welcome to Face Anti-spoofing (Presentation Attack Detection) Challenges
Introduction
Face anti-spoofing is essential to prevent face recognition systems from a security breach. Although face anti-spoofing detection methods have been proposed so far, the problem is still unsolved due to the difficulty on the design of features and methods for spoof attacks. In order to push the techniques of face anti-spoofing. We organize some face anti-spoofing challenges.
News:
February 2024, the 5th Face Anti-spoofing Workshop and Challenge is beginning. (link)
December 2023, the 5th Face Anti-spoofing Workshop and Challenge is accepted by CVPR 2024.
November 2023, the paper about Surveillance Face Anti-spoofing [8] has been accepted by IEEE TIFS.
March 2023, our special issue on Biometrics Security and Privacy by International Journal of Computer Vision (IJCV) is accepted (CFP: link).
February 2023, the 4th Face Anti-spoofing challenge@CVPR2023 is begining. (link)
December 2022, the 4th Face Anti-spoofing Workshop and Challenge is accepted by CVPR 2023.
May 2022, the HiFiMask paper is accepted by IEEE TIFS.
April 19, 2021, the 3rd Face Anti-spoofing challenge@ICCV2021 is begining. (link)
April 2021, the proposal of the 3rd Face Anti-spoofing Workshop and Challenge@ICCV 2021 is accepted. (link)
November 2020, face anti-spoofing paper [7] is accepted by WACV 2021, where we release the CASIA-SURF CeFA dataset.
September 2020, a review of cross-ethnicity face anti-spoofing challenge has been accepted by IET Biometrics [6].
August 2020, Our special issue on Face Presentation Attack Detection has been accepted by IEEE Transactions on Biometrics, Behavior, and Identity Science (TBIOM) (link)
May 2020, a review of Cross-ethnicity Face Anti-spoofing Recognition Challenge in CVPR 2020 is released [6].
Feb 2020, Journal version of CASIA-SURF has been accepted by IEEE Transactions on Biometrics, Behavior, and Identity Science (TBIOM ) [5]
Feb 15, 2020, Face Anti-spoofing Attack Detection Challenge@CVPR2020 will be held on the Media Forensics Workshop@CVPR2020
Dec 17, 2020, Face Anti-spoofing Attack Detection Challenge@CVPR2020 (link)
Dec 6, 2019, CASIA-SURF CeFA dataset and baseline method are released [3,4]
June 2019, face anti-spoofing paper is accepted by CVPR 2019 [1]
June 2019, workshop paper for face anti-spoofing challenge overview@CVPR2019 [2]
Dec 2018, Multi-modal Face Anti-spoofing Attack Detection Challenge@CVPR2019
Dec 2018, CASIA-SURF dataset released [1]
Main Organizers
Jun Wan (万军), NLPR, Institute of Automation, Chinese Academy of Sciences (CASIA), China, jun.wan@ia.ac.cn
Sergio Escalera, Computer Vision Center (UAB) and University of Barcelona, Spain, sergio@maia.ub.es
Hugo Jair Escalante, INAOE, ChaLearn, Mexico, hugojair@inaoep.mx
Isabelle Guyon, Université Paris-Saclay, France and ChaLearn, Berkeley, California, USA, guyon@chalearn.org
Guodong Guo, IDL, Baidu Research, China, guoguodong01@baidu.com
Shaopeng Tang, Beijing SurfingTech Co., Ltd, shaopeng@surfingtech.cn
Ref (* corresponding author):
all the listed papers can be found at http://www.cbsr.ia.ac.cn/users/jwan/publication.html.
Jun Wan, Guodong Guo, Sergio Escalera, Hugo Jair Escalante, Stan Z. Li (2nd Editors), Advances in Face Presentation Attack Detection, Synthesis Lectures on Computer Vision, Springer, 2023. (Book)
Shifeng Zhang, Xiaobo Wang, Ajian Liu, Chenxu Zhao, Jun Wan, Sergio Escalera, Hailin Shi, Zezheng Wang, Stan Z. Li, " A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing ", CVPR, 2019. (CASIA-SURF Dataset, [Download])
Shifeng Zhang, Ajian Liu, Jun Wan, Yanyan Liang, Guodong Guo, Sergio Escalera, Hugo Jair Escalante and Stan Z. Li, "CASIA-SURF: A Large-scale Multi-modal Benchmark for Face Anti-spoofing", IEEE Transactions on Biometrics, Behavior, and Identity Science (TBIOM), 2020. (CASIA-SURF Dataset, [Download])
Ajian Liu, Zichang Tan, Jun Wan, Sergio Escalera, Guodong Guo, Stan Z. Li, "CASIA-SURF CeFA: A Benchmark for Multi-modal Cross-ethnicity Face Anti-spoofing", WACV, 2021. (CeFA Dataset, [Download])
Ajian Liu, Chenxu Zhao, Zitong Yu, Jun Wan, Anyang Su, Xing Liu, Zichang Tan, Sergio Escalera, Junliang Xing, Yanyan Liang, Guodong Guo, Zhen Lei, Stan Z. Li, Du Zhang, “Contrastive Context-Aware Learning for 3D High-Fidelity Mask Face Presentation Attack Detection", IEEE TIFS, 2022. [Link] (HiFiMask Dataset, [Download])
Hao Fang, Ajian Liu, Jun Wan, Sergio Escalera, Chenxu Zhao, Xu Zhang, Stan Z. Li, Zhen Lei, "Surveillance Face Anti-spoofing", IEEE Transactions on Information Forensics & Security (TIFS), 2023. (SuHiFiMask Dataset, [Download])
Fang Hao, Ajian Liu, Haocheng Yuan, Junze Zheng, Dingheng Zeng, Yanhong Liu, Jiankang Deng, Sergio Escalera, Xiaoming Liu, Jun Wan, Zhen Lei, "Unified Physical-Digital Face Attack Detection", IJCAI, 2024. (UniAttackData Dataset, [Download])
Ajian Liu, Shuai Xue, Jianwen Gan, Jun Wan*, Yanyan Liang, Jiankang Deng, Sergio Escalera, Zhen Lei, "CFPL-FAS: Class Free Prompt Learning for Generalizable Face Anti-spoofing", CVPR, 2024.
Ajian Liu, Xuan Li, Jun Wan, Yanyan Liang, Sergio Escalera, Hugo Jair Escalante, Meysam Madadi, Yi Jin, Zhuoyuan Wu, Xiaogang Yu, Zichang Tan, Qi Yuan, Ruikun Yang, Benjia Zhou, Guodong Guo, Stan Z. Li, "Cross-ethnicity Face Anti-spoofing Recognition Challenge: A Review", IET Biometrics, 2020.
Ajian Liu, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Zichang Tan, Qi Yuan, Kai Wang, Chi Lin, Guodong Guo, Isabelle Guyon, Stan Z. Li, "Multi-modal Face Anti-spoofing Attack Detection Challenge at CVPR2019", CVPRW, 2019.
Ajian Liu, Chenxu Zhao, Zitong Yu, Anyang Su, Xing Liu, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Zhen Lei, Guodong Guo "3D High-Fidelity Mask Face Presentation Attack Detection Challenge", ICCVW, 2021
Hao Fang, Ajian Liu, Jun Wan, Sergio Escalera, Hugo Jair Escalante, and Zhen Lei, "Surveillance Face Presentation Attack Detection Challenge", CVPR workshop, 2023.
Dong Wang, Jia Guo, Qiqi Shao, Haochi He, Zhian Chen, Chuanbao Xiao, Ajian Liu, Sergio Escalera, Hugo Jair Escalante, Zhen Lei, Jun Wan, Jiankang Deng, "Wild Face Anti-Spoofing Challenge 2023: Benchmark and Results", CVPR workshop, 2023.